Heritability in Morphological Robot Evolution
Matteo De Carlo, Eliseo Ferrante, Daan Zeeuwe, Jacintha Ellers, Gerben, Meynen, A. E. Eiben

TL;DR
This paper explores how heritability influences morphological robot evolution, providing insights into genotype-phenotype mapping and the exploration-exploitation tradeoff using different encoding schemes.
Contribution
It introduces the application of heritability analysis to evolutionary robotics, comparing direct and indirect encodings and their effects on phenotypic diversity and evolution.
Findings
Heritability varies between encoding types and influences exploration and exploitation.
Patterns in heritability help understand phenotypic diversity during evolution.
Heritability is a useful tool for designing complex adaptive systems.
Abstract
In the field of evolutionary robotics, choosing the correct encoding is very complicated, especially when robots evolve both behaviours and morphologies at the same time. With the objective of improving our understanding of the mapping process from encodings to functional robots, we introduce the biological notion of heritability, which captures the amount of phenotypic variation caused by genotypic variation. In our analysis we measure the heritability on the first generation of robots evolved from two different encodings, a direct encoding and an indirect encoding. In addition we investigate the interplay between heritability and phenotypic diversity through the course of an entire evolutionary process. In particular, we investigate how direct and indirect genotypes can exhibit preferences for exploration or exploitation throughout the course of evolution. We observe how an…
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Taxonomy
TopicsEvolutionary Algorithms and Applications · Reinforcement Learning in Robotics · Modular Robots and Swarm Intelligence
